TensoriqData delivers end-to-end data modernization, cloud migration, and ML/AI deployments — built by certified GCP & AWS architects who've delivered across healthcare, pharma, and FMCG.
TensoriqData is a specialized data & AI engineering firm operating at the intersection of cloud infrastructure and intelligent data systems. We work with healthcare, pharma, FMCG, and enterprise clients to transform fragmented data ecosystems into modern, scalable platforms.
Our team of Solution Architects and Lead Data Engineers brings hands-on expertise across the full data stack — from raw ingestion pipelines to production ML deployments. We don't just consult — we build and deliver.
With deep roots in GCP and AWS, we architect cloud-native solutions that are secure, cost-optimized, and engineered for long-term scale.
From data pipeline design to production AI deployments — we deliver full-stack data engineering on GCP and AWS.
Seamless lift-and-shift and re-platforming of legacy databases to modern cloud warehouses. Zero-downtime migrations with full audit trails, rollback strategies, and HIPAA-compliant workflows for healthcare clients.
Rebuild aging pipelines into real-time, event-driven architectures. We transform monolithic ETL into scalable, observable data platforms using dbt, Dataflow, and Pub/Sub for streaming analytics.
Production-grade deployment of ML models on Google Kubernetes Engine. Full CI/CD pipelines, automated retraining, Vertex AI integration, and model monitoring — from notebook to API in production.
GCP and AWS infrastructure design, cost optimization, security posture, and data governance frameworks. Certified architects who build for scale, compliance, and operational excellence.
Delivered engagements across healthcare, pharma, FMCG, and AI-powered tech products — real-world data challenges solved at scale.
Built an end-to-end pipeline for a leading pharmacy and FMCG retail chain, integrating POS, inventory, and supply chain data into a single BigQuery warehouse with real-time dashboards and automated replenishment triggers.
Migrated clinical and patient records from legacy on-premise systems to GCP. Ensured HIPAA compliance, zero data loss, full audit trails, and role-based access control — completed with zero production downtime.
Deployed predictive analytics models for patient risk stratification and demand forecasting. Automated retraining pipelines with Vertex AI, served via REST APIs on GKE with model monitoring and drift detection.
Led end-to-end data migration for a North American retail giant, moving 650TB+ of warehouse and transactional data from legacy Teradata to Google BigQuery. Implemented a hybrid batch + streaming architecture to ensure zero business disruption, maintain data lineage, and achieve full cutover within agreed SLAs.
Whether you're modernizing a legacy data stack, building your first ML pipeline, or migrating to GCP or AWS — we'd love to hear about your project. Our architects respond within 24 hours.